The Dermatoglyphic Assessment of Umuahia Natives in Abia State University, Uturu.

Dermatoglyphic impressions and the effectiveness of friction ridge skin identification have been demonstrated through experimentation, fingerprints are now incorporated into anthropometric records, resulting in their increased usage. The research objectives include investigating the qualitative dermatoglyphic features (arch, loop and whorl patterns) in both hands; and, the quantitative dermatoglyphic features of total finger ridge count (TFRC) in both hands of Umuahia male and female individuals. Fifty (50) male and female students each who are natives of Umuahia in Abia State University, Uturu were examined using dermatoglyphics tool and interview-administered questionnaires. The distribution in percentage and frequency of the right- and left-hand finger pattern dermatoglyphics qualitative features of Umuahia reveal, ulnar loop, plain whorl, and plain arch patterns shown to be more prevalent in females. The paired sample test confirmed observations, indicating that males have a higher finger ridge count on the right hand and females have a higher finger ridge count on the left hand. However, there is a positive correlation between the FRC of the two hands, indicating a consistent relationship in ridge count between the right and left hands, particularly stronger in females compared to males.

Dermatoglyphics, Gender, Umuahia, Population

1. Alhaji, M. M., Timbuak, J. A., Umana, U. E., & Tanko, M. (2015). Palmar creases and handedness in Hausas of northern Nigeria: a cross-sectional study. Asian Journal of Biological and Medical Sciences, 1(02), 6-13. [Google Scholar] [Crossref]

2. Anyanwu L. C. (2020). Variations of finger dermatoglyphics among the Esan ethnic group of Edo State, Nigeria. International Journal of Modern Anthropology, 2(14), 275–289. [Google Scholar] [Crossref]

3. Bandameedi, L., Yerukala, K., & Mohammed, A. K. (2016). Study of fingerprint patterns in relation to gender and blood group. Journal of Evolution of Medical and Dental Sciences, 5(14), 630-633. [Google Scholar] [Crossref]

4. Cadd, S., Islam, M., Manson, P., & Bleay, S. (2015). Fingerprint composition and aging: A literature review. Science & justice: journal of the Forensic Science Society, 55(4), 219–238. [Google Scholar] [Crossref]

5. Cummins, H., & Midlo, C. (1926). Palmar and plantar epidermal ridge configurations in European Americans. American Journal of Physical Anthropology, 9(4), 471-502. [Google Scholar] [Crossref]

6. Cummins, H., & Midlo, C. (1961). Finger Prints, Palms and Soles: An Introduction to Dermatoglyphics. Dover, New York. [Google Scholar] [Crossref]

7. Ekanem, E., Elmva, M., Udoaffah, G., Ekanem, T., & Akpantah, A. (2008). Digital dermatoglyphic patterns of Annang ethnic group in Akwa Ibom State of Nigeria. International Journal of Biological Anthropology, 3(1), 1282. [Google Scholar] [Crossref]

8. Ezejindu, D. N., Anyabolu, A. E., Asomugha, A. L., Ukoha, U., Chukwujekwu, I. E., Ezejiofor, O. F., Enemuo, E. H., & Ezeoko, T. J. (2015). Digital Dermatoglyphic patterns of Igbo Tribe of South East, Nigeria. World Journal of Pharmaceutical Research, 4(06), 990-996. [Google Scholar] [Crossref]

9. Fournier, N. A., & Ross, A. H. (2016). Sex, Ancestral, and pattern type variation of fingerprint minutiae: A forensic perspective on anthropological dermatoglyphics. American journal of physical anthropology, 160(4), 625–632. [Google Scholar] [Crossref]

10. Hajn, V., & Gasiorowski, A. (1999). Quantitative values on fingers and palms in Czech and Polish populations. Biologica, 37, 107-115. [Google Scholar] [Crossref]

11. Huynh, C., Brunelle, E., Halámková, L., & Agudelo, J. (2015). Forensic Identification of Gender from Fingerprints. Analytical Chemistry, 87(22), 15-36. [Google Scholar] [Crossref]

12. Igbigbi, P. S., & Msamati, B. C. (1999). Palmar and digital dermatoglyphic patterns in Malawian subjects. East African Medical Journal, 76, 668-671. [Google Scholar] [Crossref]

13. Igbigbi, P. S., & Msamati, B. C. (2002). Palmar and digital dermatoglyphics of indigenous black Zimbabweans. Medical Science Monitor, 8, 757-761. [Google Scholar] [Crossref]

14. Imene, N. (2011). Dermatoglyphic trait variation: an intra-Tunisian population analysis. International Journal of Modern Anthropology, 4, 12-27. [Google Scholar] [Crossref]

15. Iso, I. U., Msembe, O. E., & Ewunonu, E. 0. (2019). Sex variations in fingerprint ridge count of a Nigerian population in Calabar municipality. Anatomy Journal of Africa, 8(2), 1544-1551.Yusuf, A. O., Danborno, B., & Timbuak, J. A. (2019). Dermatoglyphic Patterns Among Adolescents of the Ebira Ethnic Group of Kogi State, Nigeria. Journal of Morphological Sciences, 36(4), 261-268. [Google Scholar] [Crossref]

16. Jeffery, G. B. (2011). National Institute of Justice. The fingerprint source book. US: U.S. Department of Justice. [Google Scholar] [Crossref]

17. Kar, S., Krishnan, A., Bhakta, A., & Dongre, A. (2012). Digito-palmar dermatoglyphics in vitiligo – A case control study. Journal of the Saudi Society of Dermatology & Dermatologic Surgery, 16(2), 61–66. [Google Scholar] [Crossref]

18. Kemelmacher-Shlizerman, I., & Basri, R. (2011). 3D face reconstruction from a single image using a single reference face shape. IEEE transactions on pattern analysis and machine intelligence, 33(2), 394405. [Google Scholar] [Crossref]

19. Khare, V., & Singla, A. (2022). A review on the advancements in chemical examination of composition of latent fingerprint residues. Egyptian Journal of Forensic Sciences, 12(1), 6. [Google Scholar] [Crossref]

20. Kralík, M., & Novotny, V. (2003). Epidermal ridge breadth: an indicator of age and sex in paleodermatoglyphics. Variability and Evolution, 11, 5–30. [Google Scholar] [Crossref]

21. Kücken M. (2007). Models for fingerprint pattern formation. Forensic science international, 171(2-3), 85– [Google Scholar] [Crossref]

22. Kücken, M., & Newell, A. C. (2005). Fingerprint formation. Journal of theoretical biology, 235(1), 71– [Google Scholar] [Crossref]

23. Machado, J. F., Fernandes, P. R., Roquetti, R. W., & Filho, J. F. (2010). Digital dermatoglyphic heritability differences as evidenced by a female twin study. Twin research and human genetics: the official journal of the International Society for Twin Studies, 13(5), 482–489. [Google Scholar] [Crossref]

24. Mohammed, B., Garba, S. H., & Adeyemi, L. B. (2014). Digital dermatoglyphics patterns of the Kanuri Ethnic Group of North Eastern Nigeria. International Journal of Innovation and Applied Studies, 9(2), 985–988. [Google Scholar] [Crossref]

25. Sanders, G., & Kadam, A. (2001). Prepubescent children show the adult relationship between dermatoglyphic asymmetry and performance on sexually dimorphic tasks. Cortex; a journal devoted to the study of the nervous system and behavior, 37(1), 91–100. [Google Scholar] [Crossref]

• Measuring Waste of Patient Time in Health Care at Non-Digitized Hospital: An Observational Study in Bangabandhu Sheikh Mujib Medical University, Bangladesh
• Reaffirming Clinical Confidence in Atorvastatin Therapy: A Digital Outreach Case Study from Tamil Nadu, India
• Clinical Manifestations and Therapeutic Response in a Patient with Hypothyroidism: A Case Report
• Eranda (Ricinus Communis) In Gridhrasi (Sciatica): Classical Rationale, Pharmacology and Clinical Evidence- A Narrative Literature Review
• Magnetotherapy in Pain Management: Mechanisms, Clinical Applications, and Future Perspectives – A Review